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Open Access 01-12-2015 | Research

Validation of Varian’s SmartAdapt® deformable image registration algorithm for clinical application

Authors: Ihab S Ramadaan, Karsten Peick, David A Hamilton, Jamie Evans, Douglas Iupati, Anna Nicholson, Lynne Greig, Robert J W Louwe

Published in: Radiation Oncology | Issue 1/2015

Abstract

Background

Re-contouring of structures on consecutive planning computed tomography (CT) images for patients that exhibit anatomical changes is elaborate and may negatively impact the turn-around time if this is required for many patients. This study was therefore initiated to validate the accuracy and usefulness of automatic contour propagation for head and neck cancer patients using SmartAdapt® which is the deformable image registration (DIR) application in Varian’s Eclipse™ treatment planning system.

Methods

CT images of eight head and neck cancer patients with multiple planning CTs were registered using SmartAdapt®. The contoured structures of target volumes and OARs of the primary planning CT were deformed accordingly and subsequently compared with a reference structure set being either: 1) a structure set independently contoured by the treating Radiation Oncologist (RO), or 2) the DIR-generated structure set after being reviewed and modified by the RO.

Results

Application of DIR offered a considerable time saving for ROs in delineation of structures on CTs that were acquired mid-treatment. Quantitative analysis showed that 84% of the volume of the DIR-generated structures overlapped with the independently re-contoured structures, while 94% of the volume overlapped with the DIR-generated structures after review by the RO. This apparent intra-observer variation was further investigated resulting in the identification of several causes. Qualitative analysis showed that 92% of the DIR-generated structures either need no or only minor modification during RO reviews.

Conclusions

SmartAdapt is a powerful tool with sufficient accuracy that saves considerable time in re-contouring structures on re-CTs. However, careful review of the DIR-generated structures is mandatory, in particular in areas where tumour regression plays a role.

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Title: Validation of Varian’s SmartAdapt® deformable image registration algorithm for clinical application
Authors: Ihab S Ramadaan
Karsten Peick
David A Hamilton
Jamie Evans
Douglas Iupati
Anna Nicholson
Lynne Greig
Robert J W Louwe
Publication date: 01-12-2015
Publisher: BioMed Central
Published in: Radiation Oncology / Issue 1/2015
Electronic ISSN: 1748-717X
DOI: https://doi.org/10.1186/s13014-015-0372-1

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Validation of Varian’s SmartAdapt® deformable image registration algorithm for clinical application

Abstract

Background

Methods

Results

Conclusions

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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